Browsing by keyword "infant"
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Breastfeeding During Early Infancy is Associated with a Lower Incidence of Febrile IllnessesHuman breast milk is known to contain immunoprotective, antimicrobial, and anti-inflammatory agents. In a prospective clinical study of dengue virus infections during infancy, we examined the correlation between breastfeeding and the development of febrile illnesses in an infant population. We found that breastfeeding status and the frequency of breastfeeding during early infancy was associated with a lower incidence of febrile illnesses.
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Breastfeeding During Early Infancy is Associated with Higher Weight-Based World Health Organization AnthropometryThe World Health Organization (WHO) Expert Committee on Physical Status: The Use and Interpretation of Anthropometry established reference anthropometric standards for the growth of healthy infants and children. As part of a prospective clinical study of dengue virus infections in infants, we measured the length and weight of healthy infants in San Pablo, Laguna, Philippines at two scheduled study visits. We examined the correlation between breastfeeding and WHO anthropometric z scores during early infancy in San Pablo, Laguna, Philippines. We found that breastfeeding status and the frequency of breastfeeding during early infancy positively correlated with weight-based WHO anthropometric z scores.
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Factors associated with pediatric use of complementary and alternative medicineBACKGROUND: Limited data are available on the use of complementary and alternative medicine (CAM) and factors associated with use among the pediatric population in the United States. METHODS: Using the 2007 National Health Interview Survey data among individuals < 18 years of age (n = 9417), we compared CAM users (excluding those using vitamins and minerals) and non-CAM users. Using bivariable and multivariable logistic regression models, we examined independent associations of CAM use with sociodemographic factors, prescription medication use, delays in health care caused by access difficulties, and common medical conditions/symptoms. RESULTS: In an adjusted multivariable logistic model, CAM users were more likely than non-CAM users to be adolescents rather than infants or toddlers (adjusted odds ratio [aOR]: 1.61 [95% confidence interval (CI): 1.11-2.34]); live in the West (aOR: 2.05 [95% CI: 1.62-2.59]), Northeast (aOR: 1.36 [95% CI: 1.02-1.80]), or Midwest (aOR: 1.35 [95% CI: 1.04-1.74]) compared with those in the South; more likely to have a parent with a college education (aOR: 4.33 [95% CI: 2.92-6.42]); and more likely to use prescription medication (aOR: 1.51 [95% CI: 1.19-1.92]). Pediatric CAM users were more likely to have anxiety or stress (aOR: 2.54 [95% CI: 1.89-3.42]), dermatologic conditions (aOR: 1.35 [95% CI: 1.03-1.78]), musculoskeletal conditions (aOR: 1.94 [95% CI: 1.31-2.87]), and sinusitis (aOR: 1.54 [95% CI: 1.11-2.14]). Use of CAM by a parent was strongly associated with the child's use of CAM (aOR: 3.83 [95% CI: 3.04-4.84]). CONCLUSIONS: In 2007, pediatric CAM users were more likely to take prescription medications, have a parent who used CAM, and have chronic conditions such as anxiety or stress, musculoskeletal conditions, dermatologic conditions, or sinusitis. Research is required to guide pediatricians in making recommendations on CAM modalities for children including potential risks and/or benefits and interactions with conventional therapies.
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Newborn Outcomes Among Veterans Utilizing VHA Maternity Benefits, 2016-2020INTRODUCTION: Public Law 111-163 Section 206 of the Caregivers and Veteran Omnibus Health Services Act amended the Veterans Health Administration's (VHA) medical benefits package to include 7 days of medical care for newborns delivered by Veterans. We examined the newborn outcomes among a cohort of women Veterans receiving VHA maternity benefits and care coordination. MATERIALS AND METHODS: We conducted a secondary analysis of phone interview data from Veterans enrolled in the COMFORT (Center for Maternal and Infant Outcomes Research in Translation) study 2016-2020. Multivariable regression estimated associations with newborn outcomes (preterm birth; low birthweight). RESULTS: During the study period, 829 infants were born to 811 Veterans. Mothers reported "excellent health" for 94% of infants. The prevalence of preterm birth was slightly higher in our cohort (11% vs. 10%), as were low birthweight (9%) deliveries, compared to the general population (8.28%). Additionally, 42% of infants in our cohort required follow-up care for non-routine health conditions; 11% were uninsured at 2 months of age. Adverse newborn outcomes were more common for mothers who were older in age, self-identified as non-white in race and/or of Hispanic ethnicity, had a diagnosis of posttraumatic stress disorder, or had gestational comorbidities. CONCLUSIONS: The current VHA maternity coverage appears to be an effective policy for ensuring the well-being and health care coverage for the majority of Veterans and their newborns in the first days of life, thereby reducing the risk of inadequate prenatal and neonatal care. Future research should examine costs associated with extending coverage to 14 days or longer, comparing those to the projected excess costs of neonatal health problems. VHA policy should continue to support expanding care and resources through the Maternity Care Coordinator model.
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Role of multiple births in very low birth weight and infant mortalityOBJECTIVE: To determine the percentage of very-low-birth-weight (VLBW) infants (g) and infant deaths attributable to multiple births in the general population and in women aged 35+. STUDY DESIGN: The year 2000 Massachusetts birth certificate database with linked births-deaths was examined. Etiologic fractions (EF) for VLBW and infant mortality attributable to multiples were calculated for the general population and the 35+ age group. The percentages of multiples occurring in the 35+ age group were calculated. Infant deaths due to congenital anomalies and "perinatal conditions" were calculated. RESULTS: There were 81,582 resident births in Massachusetts in 2000. Of them 4.3% were multiples. Of the 1090 VLBW infants, 26.1% (95% CI: 23.5-28.8) were in twins and 7.7% (95% CI: 6.2-9.5) in higher-order multiples, yielding an EF of 30.8% for multiples in VLBW. In the 35+ age group, the multiple birth ratio was 6.6% (95% CI: 6.3-7.0). The EF for multiples and VLBW in this age group was 33.7%. The 35+ age group accounted for 32.4% (95% CI: 30.8-34.0) of twins and 45.5% (95% CI: 39.1-52.0) of higher-order multiples born in 2000. Of the 392 infant deaths, 57 (14.6%; 95% CI: 11.2-18.4) were attributed to congenital anomalies, and 236 (60.2%; 95% CI: 55.2-65.0) to "perinatal conditions." Multiples were responsible for 8 (14%; 95% CI: 6.3-25.8) of deaths due to anomalies, and 73 (30.9%; 95% CI: 25.1-37.3) due to "perinatal conditions." CONCLUSION: Over 30% of VLBW infants, nearly 20% of infant mortality and >30% of infant mortality due to perinatal conditions could be attributed to multiples. Multiple pregnancy is a significant public health problem.
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Role of smoking in low birth weightOBJECTIVE: To assess the role of smoking on low birth weight (LBW). STUDY DESIGN: From Massachusetts for 1998, 79,904 birth certificates were reviewed. Birth weight, gestational age, plurality and maternal race were analyzed in relation to the mother's smoking status during the pregnancy. The etiologic fraction (EF) was calculated for smoking and LBW for the group as a whole as well as for various subgroups. RESULTS: A total of 11.7% of women acknowledged smoking during pregnancy. The overall LBW rate was 6.83%. The relative risk (RR) of LBW among smokers was 1.58. For all births the EF for smoking was 6.4% (95% CI: 5.4-7.3). For singleton pregnancies it was 10.9% (95% CI: 9.6-12.1) (14% for singleton whites and 7.2 for singleton blacks). At term, the EF of smoking on LBW was 13.4% (95% CI: 11.5-15.3), with an EF of 16.7% (95% CI: 14.5-18.7) for term singletons (21.4% among whites and 14.6% among blacks). Among very LBW infants, smoking accounted for 1.7% (95% CI:--0.5-3.8) of the outcome (5.8% among singletons). When stratifying for the effect of smoking, the rate of LBW was 6.38% among nonsmokers, 9.5% (RR 1.48, 1.38-1.61) among light smokers, 11.67% (RR 1.82, 1.63-2.05) among moderate smokers and 11.72% (RR 1.84, 1.33-2.54) among heavy smokers. Sixty percent of the overall population effect of smoking on LBW was in the category of light smokers. CONCLUSION: The amount of LBW attributable to smoking was 6.4% in this sample. Among those who smoked, LBW was 58% more likely than among nonsmokers, and 60% of the overall population effect of smoking on LBW was noted among light smokers.


